Update app.py

app.py

@@ -6,12 +6,12 @@ import os
 os.environ["TOKENIZERS_PARALLELISM"] = "false"
 
 # Initialize paths and model identifiers for easy configuration and maintenance
-filename = "output_topic_details.txt"  # Path to the file storing chess-specific details
+filename = "output_topic_details.txt"  # Path to the file storing AI-specific details
 retrieval_model_name = 'output/sentence-transformer-finetuned/'
 
 openai.api_key = os.environ["OPENAI_API_KEY"]
 
-system_message = "You are a chess chatbot specialized in providing information on chess rules, strategies, and terminology."
+system_message = "You are an AI chatbot specialized in providing information on AI usage, helpful tools, and teaching users about AI."
 # Initial system message to set the behavior of the assistant
 messages = [{"role": "system", "content": system_message}]
 
@@ -64,10 +64,10 @@ def find_relevant_segment(user_query, segments):
 
 def generate_response(user_query, relevant_segment):
     """
-    Generate a response emphasizing the bot's capability in providing chess information.
+    Generate a response emphasizing the bot's capability in providing AI information.
     """
     try:
-        user_message = f"Here's the information on chess: {relevant_segment}"
+        user_message = f"Here's the information on AI: {relevant_segment}"
 
         # Append user's message to messages list
         messages.append({"role": "user", "content": user_message})
@@ -99,7 +99,7 @@ def query_model(question):
     Process a question, find relevant information, and generate a response.
     """
     if question == "":
-        return "Welcome to ChessBot! Ask me anything about chess rules, strategies, and terminology."
+        return "Welcome to AI-nstein! Ask me anything about AI ML, and helpful tools you may want to use!"
     relevant_segment = find_relevant_segment(question, segments)
     if not relevant_segment:
         return "Could not find specific information. Please refine your question."
@@ -108,20 +108,20 @@ def query_model(question):
 
 # Define the welcome message and specific topics the chatbot can provide information about
 welcome_message = """
-# ♟️ Welcome to ChessBot!
+# ♟️ Welcome to AI-nstein!
 
-## Your AI-driven assistant for all chess-related queries. Created by SCHOLAR1, SCHOLAR2, and SCHOLAR3 of the 2024 Kode With Klossy CITY Camp. 
+## Your AI-driven assistant for all artificial intelligence-related queries. Created by Sophie Cheng, Ariel Datikash, and K Barnes of the 2024 Kode With Klossy CITY Camp. 
 """
 
 topics = """
 ### Feel Free to ask me anything from the topics below!
-- Chess piece movements
-- Special moves
-- Game phases
-- Common strategies
-- Chess terminology
-- Famous games
-- Chess tactics
+- AI Usage
+- AI Safety
+- AI Helpers
+- How AI Works
+- Basics of AI
+- Fun Facts about AI
+- Examples of AI
 """
 
 # Setup the Gradio Blocks interface with custom layout components
@@ -133,7 +133,7 @@ with gr.Blocks(theme='JohnSmith9982/small_and_pretty') as demo:
     with gr.Row():
         with gr.Column():
             question = gr.Textbox(label="Your question", placeholder="What do you want to ask about?")
-            answer = gr.Textbox(label="ChessBot Response", placeholder="ChessBot will respond here...", interactive=False, lines=10)
+            answer = gr.Textbox(label="AI-nstein Response", placeholder="AI-nstein will respond here...", interactive=False, lines=10)
             submit_button = gr.Button("Submit")
             submit_button.click(fn=query_model, inputs=question, outputs=answer)